Wenbin Dai

53 total papers · 415 total citations
34 papers, 247 citations indexed

About

Wenbin Dai is a scholar working on Industrial and Manufacturing Engineering, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Wenbin Dai has authored 34 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Industrial and Manufacturing Engineering, 10 papers in Information Systems and 7 papers in Computer Networks and Communications. Recurrent topics in Wenbin Dai's work include Flexible and Reconfigurable Manufacturing Systems (14 papers), Digital Transformation in Industry (8 papers) and Manufacturing Process and Optimization (7 papers). Wenbin Dai is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (14 papers), Digital Transformation in Industry (8 papers) and Manufacturing Process and Optimization (7 papers). Wenbin Dai collaborates with scholars based in China, New Zealand and Sweden. Wenbin Dai's co-authors include Valeriy Vyatkin, Valeriy Vyatkin, Hiroaki Nishi, Xinping Guan, Victor Huang, James H. Christensen, Yingyue Zhang, Dan Huang, Yunpeng Zhang and Lingbo Kong and has published in prestigious journals such as Chemical Engineering Journal, IEEE Transactions on Industrial Informatics and Frontiers in Pharmacology.

In The Last Decade

Wenbin Dai

29 papers receiving 234 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wenbin Dai 119 71 42 42 30 34 247
Jakub Arm 155 1.3× 57 0.8× 26 0.6× 27 0.6× 14 0.5× 31 247
Jacques Verriet 119 1.0× 56 0.8× 58 1.4× 18 0.4× 19 0.6× 25 196
Dilip Kotak 112 0.9× 46 0.6× 45 1.1× 34 0.8× 65 2.2× 26 289
Seppo Kuikka 162 1.4× 34 0.5× 48 1.1× 52 1.2× 60 2.0× 38 322
Emanuel Trunzer 160 1.3× 34 0.5× 42 1.0× 23 0.5× 29 1.0× 28 269
Achim Rettberg 149 1.3× 44 0.6× 19 0.5× 37 0.9× 26 0.9× 24 231
Pedro Maló 72 0.6× 70 1.0× 26 0.6× 70 1.7× 50 1.7× 43 235
Michele Lora 93 0.8× 70 1.0× 45 1.1× 39 0.9× 43 1.4× 50 292
Simona Iuliana Caramihai 122 1.0× 32 0.5× 35 0.8× 30 0.7× 15 0.5× 43 255
Fengque Pei 214 1.8× 29 0.4× 32 0.8× 15 0.4× 30 1.0× 33 304

Countries citing papers authored by Wenbin Dai

Since Specialization
Citations

This map shows the geographic impact of Wenbin Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wenbin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenbin Dai more than expected).

Fields of papers citing papers by Wenbin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wenbin Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wenbin Dai. The network helps show where Wenbin Dai may publish in the future.

Co-authorship network of co-authors of Wenbin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Wenbin Dai. A scholar is included among the top collaborators of Wenbin Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenbin Dai. Wenbin Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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